Newsletter: 69% of Workers Embarrassed by AI
Plus a big week for "State of AI" reports (OpenAI & MenloVC)
Brixo Latest
Most teams think they’ve “done observability” the moment data starts flowing. The reality is the opposite — collection is the easy part. The hard part is making it useful.
A few ideas from our latest piece:
You should start with the business questions, not the tooling.
Classification — intent, outcome, sentiment — is where real value is created.
Observability only matters when insights trigger action across product, CS, support, and sales.
If you’re working on AI features, this is a useful frame for building an observability process that actually works:
👉 Read the full article:
What Stood Out
Menlo VC’s 2025: The State of Generative AI in the Enterprise
The latest “State of” was published on 12/9 and is full of interesting tidbits:
AI architectures are still primitive. Only 16% of enterprise deployments qualify as true agents. Most production systems are still fixed-sequence or routing-based workflows around a single model call. Prompt design and RAG remain the dominant customization techniques.
Build vs. buy shift. 76% of AI use cases are now purchased rather than built internally, up from 53% in 2024. Ready-made solutions are reaching production faster.
PLG is driving adoption. 27% of enterprise AI application spend comes through product-led growth, nearly 4x the rate in traditional software. Shadow AI adoption (employees using personal accounts) may push this to 40%.
Market scale and momentum. Enterprise AI spend hit $37 billion in 2025, up 3.2x from $11.5 billion in 2024. The application layer captured $19 billion of that total. 🤯
Open AI’s The State of Enterprise AI Report
Released on 12/8 and based on OpenAI’s usage data
The more “intensely” you use AI, the more productivity you gain. (Self-serving reporting?)
Technology sector growing 11x YoY for OpenAI
Healthcare is 8x
Manufacturing is 7x
What We Read/Listened/Watched
OpenAI, Anthropic, and Block Are Teaming Up to Make AI Agents Play Nice
The leaders are teaming up to create a standard protocol for AI Agents.
Building AI-Native Software with No Rules
Watch the full episode here:
We’ve heard news about OpenAI going enterprise so this isn’t a surprise, but nonetheless, worth reading particularly if their enterprise focus could be a threat to your business.
Final Brick
60% of Workers Hide their AI Use at Work
I found this to be shocking. Why are people hiding?
The social stigma.
My most extreme hypothesis:
People are become too dependent on AI, and aren’t comfortable sharing their AI creations for fear that the audience with think less of them.
The point about observability generating real value through classification, much like how precis body awareness in Pilates truly refines movment, is truly insightful.